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X-WR-CALNAME:Political Science Speaker Series - Ernesto Calvo
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260914T154428Z
UID:tag:localist.com\,2008:EventInstance_49269523593076
DTSTART:20250407T191000Z
DTEND:20250407T203000Z
DESCRIPTION:The Department of Political Science will be hosting Professor E
 rnesto Calvo from The University of Maryland on Monday\, April 7th. His re
 search centers on the study of comparative political institutions\, social
  media\, political representation\, and social networks. His work lies at 
 the intersection of big data\, survey experiments\, and institutions. His 
 website can be viewed HERE.\n\n \n\nWhen: Monday\, April 7th at 12:10PM\n\
 nWhere: SSC 125\n\n \n\nHe will be presenting his project "The Winner-Lose
 r Gap in news consumption: What lost elections tell us about the demand fo
 r news”. \n\n \n\nAbstract: \n\nThis article documents a digital winner-
 loser gap in news consumption when election results are reported to the pu
 blic. We explain this gap as the result of news-seeking and news-avoidance
  behavior\, with important amplification consequences in disseminating par
 tisan narratives and polarizing content. We examine Brazilian voters’ ne
 ws consumption patterns before\, during\, and after the 2022 presidential 
 runoff won by President Lula da Silva. We analyze 2.5 million digital trac
 e events from 1\,714 survey respondents’ smartphones and computers when 
 the election results were reported to the public. Using a robust interrupt
 ed time series design\, we show increased consumption among winners compar
 ed to losers\, with changes in the partisan shares of articles accessed\, 
 browsing speed\, and reading time. We then analyze the sensitivity of the 
 winner-loser gap to partisan\, social\, and attitudinal variables.
LOCATION:Student Success Center\, 125
SUMMARY:Political Science Speaker Series - Ernesto Calvo
URL;VALUE=URI:https://events.ucr.edu/event/political-science-speaker-series
 -ernesto-calvo
CATEGORIES:Lectures & Presentations
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